
<h1><span class="yiyi-st" id="yiyi-12">numpy.flipud</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.flipud.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.flipud.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.flipud"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">flipud</code><span class="sig-paren">(</span><em>m</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/lib/twodim_base.py#L85-L136"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">在上/下方向上翻转数组。</span></p>
<p><span class="yiyi-st" id="yiyi-15">在上/下方向上翻转每列中的条目。</span><span class="yiyi-st" id="yiyi-16">行被保留，但以与以前不同的顺序显示。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-17">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-18"><strong>m</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-19">输入数组。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-20">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-21"><strong>out</strong>：array_like</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-22">具有行颠倒的<em class="xref py py-obj">m</em>视图。</span><span class="yiyi-st" id="yiyi-23">由于返回了视图，因此此操作为<img alt="\mathcal O(1)" class="math" src="../../_images/math/125113f74c0b390f62eff33d19be4f4e42da7448.png" style="vertical-align: -4px">。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-24">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-25"><a class="reference internal" href="numpy.fliplr.html#numpy.fliplr" title="numpy.fliplr"><code class="xref py py-obj docutils literal"><span class="pre">fliplr</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-26">在左/右方向上翻转数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-27"><a class="reference internal" href="numpy.rot90.html#numpy.rot90" title="numpy.rot90"><code class="xref py py-obj docutils literal"><span class="pre">rot90</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-28">逆时针旋转数组。</span></dd>
</dl>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-29">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-30">等效于<code class="docutils literal"><span class="pre">A[::-1,...]</span></code>。</span><span class="yiyi-st" id="yiyi-31">不需要数组是二维的。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-32">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">A</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">diag</span><span class="p">([</span><span class="mf">1.0</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">A</span>
<span class="go">array([[ 1.,  0.,  0.],</span>
<span class="go">       [ 0.,  2.,  0.],</span>
<span class="go">       [ 0.,  0.,  3.]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">flipud</span><span class="p">(</span><span class="n">A</span><span class="p">)</span>
<span class="go">array([[ 0.,  0.,  3.],</span>
<span class="go">       [ 0.,  2.,  0.],</span>
<span class="go">       [ 1.,  0.,  0.]])</span>
</pre></div>
</div>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">A</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">flipud</span><span class="p">(</span><span class="n">A</span><span class="p">)</span><span class="o">==</span><span class="n">A</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="o">...</span><span class="p">])</span>
<span class="go">True</span>
</pre></div>
</div>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">flipud</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">])</span>
<span class="go">array([2, 1])</span>
</pre></div>
</div>
</dd></dl>
